Triple
T14887059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Koppenhöfer |
E359653
|
entity |
| Predicate | nameInNativeLanguage |
P1435
|
FINISHED |
| Object | Maria Koppenhöfer |
E359653
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Maria Koppenhöfer | Statement: [Maria Koppenhöfer, nameInNativeLanguage, Maria Koppenhöfer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria Koppenhöfer Context triple: [Maria Koppenhöfer, nameInNativeLanguage, Maria Koppenhöfer]
-
A.
Maria Koppenhöfer
chosen
Maria Koppenhöfer was a German actress known for her roles in mid-20th-century German cinema and theater.
-
B.
Carolin Emcke
Carolin Emcke is a German journalist, author, and public intellectual known for her writings on violence, human rights, and social justice.
-
C.
Angelika Schloder
Angelika Schloder is known as the wife of Austrian-German actor and humanitarian Karlheinz Böhm.
-
D.
Corinna Schumacher
Corinna Schumacher is a German animal rights advocate and accomplished equestrian, best known as the wife of seven-time Formula One World Champion Michael Schumacher.
-
E.
Ute Ohoven
Ute Ohoven is a German philanthropist and UNESCO Special Ambassador known for her extensive charity work, particularly in support of children and education.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f5b1c88190815f3585770cb135 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dbf1f5c8190ad4626d14e0d8109 |
completed | May 9, 2026, 2:36 a.m. |
Created at: April 10, 2026, 2:07 a.m.